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gozonerd
gozonerdCOMMUNITY
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Client Readiness Assessment

Assesses deliverable readiness for client delivery with scored dimensions and YAML reports.

Updated Apr 11, 2026
Search Tags:#quality assurance#scoring#readiness assessment#client delivery#yaml validation#deliverable review
One-click install
npx skills add https://github.com/gozonerd/shadow-ai-assessment --skill client-readiness-assessment-gozonerd
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Client Readiness Assessment
Source: https://github.com/gozonerd/shadow-ai-assessment/tree/main/.claude/skills/dmis/task_type/TT-26_Client_Readiness_Assessment
Command: npx skills add https://github.com/gozonerd/shadow-ai-assessment --skill client-readiness-assessment-gozonerd

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyyaml, and includes scripts (resource) and references (resource) components.

What problem does it solve? Delivering documents to clients without a structured review risks shipping content with gaps, inaccuracies, or format mismatches. This Skill evaluates a draft deliverable from the client stakeholder's perspective and produces a scored readiness assessment with a clear ready/conditional/not_ready decision. ## Core Features & Use Cases - Multi-Dimension Scoring: Rates completeness, clarity, accuracy, actionability, and format compliance on a 0-100 scale with an overall readiness score and 70-point delivery threshold. - Blocker and Recommendation Tracking: Identifies critical delivery blockers with remediation steps and produces prioritized refinement recommendations. - Output Validation: Ships a Python validator that checks YAML output against the schema, verifying score ranges, decision enums, and score-decision consistency. - Use Case: Before sending a CommCare deployment proposal to a client, run the assessment to confirm all objectives are addressed, flag unresolved cost discrepancies as delivery blockers, and get a sign-off recommendation. ## Quick Start Assess whether the attached draft deliverable is ready for client delivery and produce a readiness report with scores, blockers, and recommendations.

Frequently Asked Questions about Client Readiness Assessment

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I assess whether a document is ready for client delivery?▼

Run a client readiness assessment that scores the deliverable on completeness, clarity, accuracy, actionability, and format compliance. An overall score of 70 or above on the 0-100 scale indicates the document meets the ready threshold.

What output format does the client readiness assessment produce?▼

The assessment produces a YAML report containing an overall readiness score, a ready/conditional/not_ready decision, five dimension scores, critical blockers with remediation steps, prioritized recommendations, and a client context alignment section.

How do I validate the readiness assessment YAML output?▼

Run the included validate_output.py script with the output file path as an argument. It checks score ranges, decision enum values, blocker impact levels, recommendation priorities, and warns when the score contradicts the readiness decision.

What readiness score means a deliverable is ready to send?▼

A score of 70 or above on the 0-100 scale is the ready threshold. The validator flags inconsistencies, such as a ready decision paired with a score below 70 or a not_ready decision with a score at or above 70.

When should a deliverable be marked not_ready instead of conditional?▼

Mark not_ready when genuine delivery blockers exist, such as unverified compliance claims or contradictory cost figures. Minor refinements and nice-to-have improvements should be captured as recommendations rather than treated as blockers.

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